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The role of perceptual salience during the segmentation of connected speech

机译:感知显着在关联语音分割中的作用

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Statistical learning allows listeners to track transitional probabilities among syllable sequences and use these probabilities for subsequent speech segmentation. Recent studies have shown that other sources of information, such as rhythmic cues, can modulate the dependencies extracted via statistical computation. In this study, we explored how syllables made salient by a pitch rise affect the segmentation of trisyllabic words from an artificial speech stream by native speakers of three different languages (Spanish, English, and French). Results showed that, whereas performance of French participants did not significantly vary across stress positions (likely due to language-specific rhythmic characteristics), the segmentation performance of Spanish and English listeners was unaltered when syllables in word-initial and word-final positions were salient, but it dropped to chance level when salience was on the medial syllable. We argue that pitch rise in word-medial syllables draws attentional resources away from word boundaries, thus decreasing segmentation effectiveness.
机译:统计学习允许听众跟踪音节序列之间的过渡概率,并将这些概率用于后续语音分割。最近的研究表明,其他信息来源(如节奏提示)可以调节通过统计计算提取的依存关系。在这项研究中,我们探讨了音高升高引起的音节如何影响三种语言(西班牙语,英语和法语)的母语使用者从人工语音流中对三音节单词的分割。结果表明,尽管法语参与者的表现在重音位置上没有显着变化(可能是由于特定语言的节奏特征所致),但当字首和字尾位置的音节明显时,西班牙语和英语听众的分段表现不会改变,但是当显着性在中间音节上时,它下降到机会级别。我们认为,单词中间音节的音调上升会吸引注意力资源远离单词边界,从而降低切分效果。

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